منابع:
برای بارگذاری این مجموعه داده در TFDS از دستور زیر استفاده کنید:
ds = tfds.load('huggingface:tmu_gfm_dataset')
- توضیحات :
A dataset for GEC metrics with manual evaluations of grammaticality, fluency, and meaning preservation for system outputs. More detail about the creation of the dataset can be found in Yoshimura et al. (2020).
- مجوز : مجوز شناخته شده ای وجود ندارد
- نسخه : 1.1.0
- تقسیمات :
| شکاف | مثال ها |
|---|---|
'train' | 4221 |
- ویژگی ها :
{
"source": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"output": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"grammer": {
"feature": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"fluency": {
"feature": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"meaning": {
"feature": {
"dtype": "int32",
"id": null,
"_type": "Value"
},
"length": -1,
"id": null,
"_type": "Sequence"
},
"system": {
"dtype": "string",
"id": null,
"_type": "Value"
},
"ave_g": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"ave_f": {
"dtype": "float32",
"id": null,
"_type": "Value"
},
"ave_m": {
"dtype": "float32",
"id": null,
"_type": "Value"
}
}